Additional powertrain components and regenerative braking are two important factors that may affect the performance and stability of electrified vehicle cornering. The location of additional components affects the vehicle’s center of gravity (CG) position and thereby the stability of the vehicle. As regenerative braking is possible only on driven wheels, the brake force distribution between front and rear wheels may not follow the ideal brake force distribution curve. Hence, applying maximum regenerative braking during cornering may affect vehicle stability, and this has motivated the analysis presented in this paper. The scope of this research work includes obtaining a model for the regenerative brake system, which was then used to analyze the heavy commercial road vehicle lateral dynamic response during combined cornering and regenerative braking. A sensitivity study was carried out regarding variations in center of gravity, longitudinal speed, and tire–road traction coefficient ( μ ) . The IPG TruckMaker® vehicle simulation software running in a hardware-in-loop experimental system was used to study the heavy road vehicle cornering performance. The results showed that applying braking on a constant radius path required correction in the steering input to follow the desired path. However, the amount of steering correction required during regenerative braking was higher than that with conventional friction braking. Moreover, applying maximum regenerative braking at higher longitudinal speeds on snowy roads and split-µ roads has a higher impact on vehicle cornering performance compared with that on dry roads. Furthermore, a co-operative braking strategy with an optimum brake force sharing between regenerative braking and friction braking was developed to improve the electrified heavy commercial road vehicle’s cornering stability and handling performance during cornering and braking.


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    Title :

    Analysis of cornering response and stability of electrified heavy commercial road vehicles with regenerative braking




    Publication date :

    2020-05-01


    Size :

    18 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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